World Solve

Achieving materials enabling efficient direct conversion of sunlight to liquid fuels at meaningful scale demands simultaneous progress in fundamental research, engineering integration and socio-technical systems that work for low- and middle-income settings. Existing efforts remain fragmented relative to the magnitude of the challenge.

A persistent gap exists in realizing practical, scalable solutions for systems ensuring the safety and reliability of autonomous vehicles in mixed traffic environments. Scientific understanding, engineering readiness and institutional capacity remain insufficient to translate promising concepts into durable impact under real-world constraints of cost, skills and governance.

Achieving biotechnologies for engineering crops that require substantially less water and fertilizer at meaningful scale demands simultaneous progress in fundamental research, engineering integration and socio-technical systems that work for low- and middle-income settings. Existing efforts remain fragmented relative to the magnitude of the challenge.

A persistent gap exists in realizing practical, scalable solutions for early detection of groundwater depletion and quality decline at basin scale. Scientific understanding, engineering readiness and institutional capacity remain insufficient to translate promising concepts into durable impact under real-world constraints of cost, skills and governance.

Despite recognition of its importance, reliable methods for protocols for the ethical development and testing of human longevity interventions are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Achieving solvent-free recovery of critical minerals from complex e-waste at meaningful scale demands simultaneous progress in fundamental research, engineering integration and socio-technical systems that work for low- and middle-income settings. Existing efforts remain fragmented relative to the magnitude of the challenge.

Despite recognition of its importance, reliable methods for pathways for achieving high rates of energy efficiency and demand reduction in buildings and industry are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Achieving protocols for the rapid and equitable deployment of climate adaptation technologies at meaningful scale demands simultaneous progress in fundamental research, engineering integration and socio-technical systems that work for low- and middle-income settings. Existing efforts remain fragmented relative to the magnitude of the challenge.

Despite recognition of its importance, reliable methods for energy storage and conversion systems optimized for intermittent renewable microgrids are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Achieving mechanisms ensuring that AI-driven productivity gains translate into broadly shared prosperity at meaningful scale demands simultaneous progress in fundamental research, engineering integration and socio-technical systems that work for low- and middle-income settings. Existing efforts remain fragmented relative to the magnitude of the challenge.

A persistent gap exists in realizing practical, scalable solutions for biotechnologies for engineering organisms that produce high-value compounds from CO2 and renewable energy. Scientific understanding, engineering readiness and institutional capacity remain insufficient to translate promising concepts into durable impact under real-world constraints of cost, skills and governance.

A persistent gap exists in realizing practical, scalable solutions for pathways for achieving universal access to clean and reliable electricity by 2030. Scientific understanding, engineering readiness and institutional capacity remain insufficient to translate promising concepts into durable impact under real-world constraints of cost, skills and governance.

Biodiversity hotspots in Nigeria depend on short-term donor grants that rarely cover more than a few years, leaving conservation programs unable to plan or retain trained staff long-term.

Current approaches to methods for quantifying and reducing the environmental impacts of the digital economy either underperform under variable field conditions or generate externalities that undermine long-term sustainability and equity. Closing the gap requires coordinated advances in science, systems design and enabling institutions.

Despite recognition of its importance, reliable methods for high-humidity passive radiative cooling surfaces and coatings are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Despite recognition of its importance, reliable methods for institutional designs that make scientific research more responsive to societal needs and values are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

The absence of robust, context-adapted solutions for neuromorphic hardware approaching biological energy efficiency creates cascading risks across interconnected human and natural systems. Key missing elements include durable performance, low lifetime cost, and governance arrangements capable of sustaining impact beyond pilot stages.

Achieving affordable and scalable solutions for the prevention and management of diabetes and hypertension at meaningful scale demands simultaneous progress in fundamental research, engineering integration and socio-technical systems that work for low- and middle-income settings. Existing efforts remain fragmented relative to the magnitude of the challenge.

A persistent gap exists in realizing practical, scalable solutions for real-time systems for detecting and responding to the emergence of novel zoonotic diseases. Scientific understanding, engineering readiness and institutional capacity remain insufficient to translate promising concepts into durable impact under real-world constraints of cost, skills and governance.

The absence of robust, context-adapted solutions for city-scale anthropogenic versus biogenic CO2 attribution networks creates cascading risks across interconnected human and natural systems. Key missing elements include durable performance, low lifetime cost, and governance arrangements capable of sustaining impact beyond pilot stages.